Overview

Dataset statistics

Number of variables21
Number of observations243796
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.2 MiB
Average record size in memory147.0 B

Variable types

Numeric11
Text1
Boolean3
DateTime6

Alerts

votes_up is highly overall correlated with weighted_vote_scoreHigh correlation
weighted_vote_score is highly overall correlated with votes_upHigh correlation
playtime_forever_hour is highly overall correlated with playtime_at_review_hourHigh correlation
playtime_at_review_hour is highly overall correlated with playtime_forever_hourHigh correlation
recommended is highly imbalanced (72.7%)Imbalance
received_for_free is highly imbalanced (87.7%)Imbalance
votes_up is highly skewed (γ1 = 203.6111381)Skewed
votes_funny is highly skewed (γ1 = 255.122585)Skewed
comment_count is highly skewed (γ1 = 129.0132941)Skewed
num_reviews is highly skewed (γ1 = 20.1669645)Skewed
recommendationid has unique valuesUnique
steamid has unique valuesUnique
votes_up has 190514 (78.1%) zerosZeros
votes_funny has 229418 (94.1%) zerosZeros
weighted_vote_score has 183422 (75.2%) zerosZeros
comment_count has 239599 (98.3%) zerosZeros
num_games_owned has 156986 (64.4%) zerosZeros
playtime_last_two_weeks_hour has 224816 (92.2%) zerosZeros

Reproduction

Analysis started2023-08-13 15:17:36.545479
Analysis finished2023-08-13 15:18:52.249884
Duration1 minute and 15.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

recommendationid
Real number (ℝ)

UNIQUE 

Distinct243796
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97461262
Minimum85825364
Maximum1.4034867 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:52.422678image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum85825364
5-th percentile86342514
Q187308640
median88948797
Q31.0426419 × 108
95-th percentile1.3122033 × 108
Maximum1.4034867 × 108
Range54523302
Interquartile range (IQR)16955550

Descriptive statistics

Standard deviation14847607
Coefficient of variation (CV)0.15234367
Kurtosis0.62815676
Mean97461262
Median Absolute Deviation (MAD)2313611.5
Skewness1.3744165
Sum2.3760666 × 1013
Variance2.2045143 × 1014
MonotonicityNot monotonic
2023-08-13T16:18:52.673433image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140348666 1
 
< 0.1%
87648911 1
 
< 0.1%
87649050 1
 
< 0.1%
87649048 1
 
< 0.1%
87649045 1
 
< 0.1%
87649043 1
 
< 0.1%
87649039 1
 
< 0.1%
87649029 1
 
< 0.1%
87649015 1
 
< 0.1%
87648981 1
 
< 0.1%
Other values (243786) 243786
> 99.9%
ValueCountFrequency (%)
85825364 1
< 0.1%
85825517 1
< 0.1%
85825877 1
< 0.1%
85826358 1
< 0.1%
85826461 1
< 0.1%
85827391 1
< 0.1%
85827850 1
< 0.1%
85827981 1
< 0.1%
85827982 1
< 0.1%
85828288 1
< 0.1%
ValueCountFrequency (%)
140348666 1
< 0.1%
140347990 1
< 0.1%
140347860 1
< 0.1%
140345029 1
< 0.1%
140343169 1
< 0.1%
140342842 1
< 0.1%
140339702 1
< 0.1%
140338366 1
< 0.1%
140336728 1
< 0.1%
140336246 1
< 0.1%

review
Text

Distinct199776
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:53.237218image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Length

Max length8468
Median length7602
Mean length184.24039
Min length1

Characters and Unicode

Total characters44917069
Distinct characters2816
Distinct categories24 ?
Distinct scripts30 ?
Distinct blocks59 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique194336 ?
Unique (%)79.7%

Sample

1st rowI played this for 99 minutes EXACTLY. and I HATED EVERY MILLISECOND The levelling system makes NO SENSE! and i DONT KNOW how to get ENCHANTED or COPPER WEPAONS!!! i can't level up my BOW SKILL! YOU FAGGOTS!!! The houses look like theyt were fucking sneezed, like PAINT onto a FUCKING CANVAS!!!! WHY ARE THE NPCS DRESSED SO PROVOCATIVELY! I cannot get a pet dog!! i dont know what the FUCK the "amethyst of taming" is AND I DONT KNOW WHERE TO GET IT! FU!CK YOUYRSELF!!!
2nd rowthis game is amazing, and even better with the right mods.
3rd rowGAME IS horrible gave me fucking cancer sound
4th rowThe only bad thing about this game is the amount of time between updates. Even then, most updates are fantastic. Devs listen to players and Devs diligently work to fix any bugs that may come out.
5th rownice
ValueCountFrequency (%)
the 319290
 
3.9%
and 243152
 
3.0%
game 227123
 
2.8%
to 218190
 
2.7%
a 209234
 
2.6%
i 154098
 
1.9%
is 150522
 
1.8%
of 144941
 
1.8%
it 131012
 
1.6%
you 125942
 
1.5%
Other values (105649) 6241452
76.4%
2023-08-13T16:18:53.949440image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7854422
17.5%
e 4005386
 
8.9%
t 2952395
 
6.6%
a 2801201
 
6.2%
o 2523178
 
5.6%
i 2414974
 
5.4%
n 2193975
 
4.9%
s 2141548
 
4.8%
r 1808764
 
4.0%
l 1564702
 
3.5%
Other values (2806) 14656524
32.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 33514867
74.6%
Space Separator 7856020
 
17.5%
Uppercase Letter 1253644
 
2.8%
Other Punctuation 1190061
 
2.6%
Control 486637
 
1.1%
Decimal Number 217632
 
0.5%
Other Symbol 177830
 
0.4%
Dash Punctuation 74701
 
0.2%
Close Punctuation 42084
 
0.1%
Open Punctuation 36637
 
0.1%
Other values (14) 66956
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
506
 
3.2%
493
 
3.1%
468
 
3.0%
431
 
2.7%
428
 
2.7%
428
 
2.7%
386
 
2.4%
370
 
2.3%
333
 
2.1%
316
 
2.0%
Other values (1167) 11653
73.7%
Other Symbol
ValueCountFrequency (%)
40541
22.8%
40267
22.6%
13027
 
7.3%
5553
 
3.1%
5044
 
2.8%
4271
 
2.4%
3221
 
1.8%
2103
 
1.2%
2038
 
1.1%
2027
 
1.1%
Other values (646) 59738
33.6%
Lowercase Letter
ValueCountFrequency (%)
e 4005386
12.0%
t 2952395
 
8.8%
a 2801201
 
8.4%
o 2523178
 
7.5%
i 2414974
 
7.2%
n 2193975
 
6.5%
s 2141548
 
6.4%
r 1808764
 
5.4%
l 1564702
 
4.7%
h 1476421
 
4.4%
Other values (399) 9632323
28.7%
Uppercase Letter
ValueCountFrequency (%)
I 240215
19.2%
T 129461
 
10.3%
A 106716
 
8.5%
E 75246
 
6.0%
S 69753
 
5.6%
G 61620
 
4.9%
O 55598
 
4.4%
M 44400
 
3.5%
V 42798
 
3.4%
B 41526
 
3.3%
Other values (196) 386311
30.8%
Nonspacing Mark
ValueCountFrequency (%)
777
 
5.9%
422
 
3.2%
312
 
2.4%
̶ 249
 
1.9%
͝ 239
 
1.8%
228
 
1.7%
̈́ 216
 
1.6%
212
 
1.6%
͜ 143
 
1.1%
͊ 139
 
1.0%
Other values (120) 10319
77.8%
Other Punctuation
ValueCountFrequency (%)
. 521400
43.8%
, 313728
26.4%
' 151429
 
12.7%
! 82148
 
6.9%
/ 39016
 
3.3%
: 22742
 
1.9%
" 21985
 
1.8%
? 15817
 
1.3%
* 8179
 
0.7%
; 4672
 
0.4%
Other values (33) 8945
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 6771
42.6%
= 2721
17.1%
~ 2197
 
13.8%
> 2118
 
13.3%
< 1476
 
9.3%
| 464
 
2.9%
37
 
0.2%
18
 
0.1%
× 17
 
0.1%
14
 
0.1%
Other values (23) 71
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 71273
32.7%
1 56517
26.0%
2 27728
 
12.7%
5 14382
 
6.6%
3 13472
 
6.2%
4 8795
 
4.0%
8 6618
 
3.0%
6 6556
 
3.0%
9 6350
 
2.9%
7 5899
 
2.7%
Other values (16) 42
 
< 0.1%
Modifier Letter
ValueCountFrequency (%)
77
32.8%
76
32.3%
16
 
6.8%
14
 
6.0%
9
 
3.8%
6
 
2.6%
ـ 5
 
2.1%
ʰ 4
 
1.7%
3
 
1.3%
3
 
1.3%
Other values (15) 22
 
9.4%
Modifier Symbol
ValueCountFrequency (%)
¨ 641
29.8%
´ 457
21.3%
^ 443
20.6%
` 327
15.2%
¯ 52
 
2.4%
🏿 48
 
2.2%
37
 
1.7%
🏾 32
 
1.5%
🏻 31
 
1.4%
🏽 25
 
1.2%
Other values (8) 55
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 28101
66.8%
] 11316
26.9%
} 2225
 
5.3%
361
 
0.9%
36
 
0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
2
 
< 0.1%
2
 
< 0.1%
Other values (4) 5
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 23112
63.1%
[ 11177
30.5%
{ 2205
 
6.0%
36
 
0.1%
36
 
0.1%
29
 
0.1%
12
 
< 0.1%
12
 
< 0.1%
10
 
< 0.1%
2
 
< 0.1%
Other values (4) 6
 
< 0.1%
Space Separator
ValueCountFrequency (%)
7854422
> 99.9%
  1070
 
< 0.1%
  157
 
< 0.1%
125
 
< 0.1%
107
 
< 0.1%
  102
 
< 0.1%
18
 
< 0.1%
16
 
< 0.1%
2
 
< 0.1%
1
 
< 0.1%
Other Number
ValueCountFrequency (%)
½ 20
51.3%
¼ 6
 
15.4%
² 5
 
12.8%
2
 
5.1%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
1
 
2.6%
Format
ValueCountFrequency (%)
354
77.5%
34
 
7.4%
­ 23
 
5.0%
18
 
3.9%
󠀡 18
 
3.9%
 6
 
1.3%
2
 
0.4%
1
 
0.2%
1
 
0.2%
Dash Punctuation
ValueCountFrequency (%)
- 74116
99.2%
300
 
0.4%
173
 
0.2%
105
 
0.1%
3
 
< 0.1%
2
 
< 0.1%
2
 
< 0.1%
Spacing Mark
ValueCountFrequency (%)
5
29.4%
4
23.5%
3
17.6%
2
 
11.8%
1
 
5.9%
1
 
5.9%
1
 
5.9%
Currency Symbol
ValueCountFrequency (%)
$ 5345
90.7%
£ 330
 
5.6%
189
 
3.2%
¤ 25
 
0.4%
¢ 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
3
42.9%
2
28.6%
1
 
14.3%
1
 
14.3%
Control
ValueCountFrequency (%)
242759
49.9%
242759
49.9%
1119
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 9301
99.4%
_ 56
 
0.6%
1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
2791
91.2%
269
 
8.8%
» 1
 
< 0.1%
Initial Punctuation
ValueCountFrequency (%)
461
62.0%
281
37.8%
« 1
 
0.1%
Line Separator
ValueCountFrequency (%)
29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34734218
77.3%
Common 9984439
 
22.2%
Braille 136345
 
0.3%
Cyrillic 32024
 
0.1%
Inherited 11564
 
< 0.1%
Thai 8061
 
< 0.1%
Runic 4351
 
< 0.1%
Han 2234
 
< 0.1%
Arabic 1709
 
< 0.1%
Hangul 855
 
< 0.1%
Other values (20) 1269
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
7854422
78.7%
. 521400
 
5.2%
, 313728
 
3.1%
242759
 
2.4%
242759
 
2.4%
' 151429
 
1.5%
! 82148
 
0.8%
- 74116
 
0.7%
0 71273
 
0.7%
1 56517
 
0.6%
Other values (819) 373888
 
3.7%
Han
ValueCountFrequency (%)
90
 
4.0%
83
 
3.7%
73
 
3.3%
72
 
3.2%
72
 
3.2%
35
 
1.6%
35
 
1.6%
34
 
1.5%
29
 
1.3%
29
 
1.3%
Other values (633) 1682
75.3%
Braille
ValueCountFrequency (%)
40541
29.7%
40267
29.5%
5553
 
4.1%
2038
 
1.5%
2027
 
1.5%
1654
 
1.2%
1567
 
1.1%
1431
 
1.0%
1327
 
1.0%
1319
 
1.0%
Other values (246) 38621
28.3%
Hangul
ValueCountFrequency (%)
159
 
18.6%
27
 
3.2%
24
 
2.8%
21
 
2.5%
20
 
2.3%
20
 
2.3%
19
 
2.2%
16
 
1.9%
16
 
1.9%
14
 
1.6%
Other values (236) 519
60.7%
Latin
ValueCountFrequency (%)
e 4005386
 
11.5%
t 2952395
 
8.5%
a 2801201
 
8.1%
o 2523178
 
7.3%
i 2414974
 
7.0%
n 2193975
 
6.3%
s 2141548
 
6.2%
r 1808764
 
5.2%
l 1564702
 
4.5%
h 1476421
 
4.3%
Other values (233) 10851674
31.2%
Inherited
ValueCountFrequency (%)
777
 
6.7%
̶ 249
 
2.2%
͝ 239
 
2.1%
̈́ 216
 
1.9%
͜ 143
 
1.2%
͊ 139
 
1.2%
͑ 135
 
1.2%
̑ 134
 
1.2%
̽ 133
 
1.2%
̃ 133
 
1.2%
Other values (96) 9266
80.1%
Runic
ValueCountFrequency (%)
428
 
9.8%
370
 
8.5%
333
 
7.7%
316
 
7.3%
269
 
6.2%
255
 
5.9%
231
 
5.3%
197
 
4.5%
180
 
4.1%
179
 
4.1%
Other values (68) 1593
36.6%
Cyrillic
ValueCountFrequency (%)
о 3563
 
11.1%
а 2577
 
8.0%
е 2479
 
7.7%
т 2161
 
6.7%
и 2124
 
6.6%
н 1880
 
5.9%
р 1634
 
5.1%
с 1443
 
4.5%
в 1262
 
3.9%
л 1174
 
3.7%
Other values (65) 11727
36.6%
Thai
ValueCountFrequency (%)
506
 
6.3%
493
 
6.1%
468
 
5.8%
431
 
5.3%
428
 
5.3%
422
 
5.2%
386
 
4.8%
314
 
3.9%
312
 
3.9%
246
 
3.1%
Other values (49) 4055
50.3%
Arabic
ValueCountFrequency (%)
ا 225
 
13.2%
ل 141
 
8.3%
ي 105
 
6.1%
ه 98
 
5.7%
م 98
 
5.7%
ب 94
 
5.5%
ر 84
 
4.9%
ن 77
 
4.5%
ت 77
 
4.5%
و 74
 
4.3%
Other values (38) 636
37.2%
Greek
ValueCountFrequency (%)
α 40
 
8.6%
ι 36
 
7.8%
ο 34
 
7.3%
ν 29
 
6.3%
Α 25
 
5.4%
ε 22
 
4.8%
τ 21
 
4.5%
π 19
 
4.1%
μ 15
 
3.2%
κ 14
 
3.0%
Other values (38) 208
44.9%
Katakana
ValueCountFrequency (%)
76
30.2%
37
14.7%
30
 
11.9%
18
 
7.1%
14
 
5.6%
12
 
4.8%
11
 
4.4%
6
 
2.4%
4
 
1.6%
4
 
1.6%
Other values (24) 40
15.9%
Sinhala
ValueCountFrequency (%)
11
 
11.8%
9
 
9.7%
7
 
7.5%
6
 
6.5%
5
 
5.4%
5
 
5.4%
5
 
5.4%
4
 
4.3%
4
 
4.3%
3
 
3.2%
Other values (21) 34
36.6%
Georgian
ValueCountFrequency (%)
35
15.3%
21
 
9.2%
16
 
7.0%
13
 
5.7%
12
 
5.2%
11
 
4.8%
10
 
4.4%
10
 
4.4%
9
 
3.9%
9
 
3.9%
Other values (20) 83
36.2%
Hiragana
ValueCountFrequency (%)
20
23.8%
7
 
8.3%
5
 
6.0%
5
 
6.0%
5
 
6.0%
4
 
4.8%
4
 
4.8%
3
 
3.6%
2
 
2.4%
2
 
2.4%
Other values (20) 27
32.1%
Hebrew
ValueCountFrequency (%)
י 13
14.3%
ש 8
 
8.8%
ַ 7
 
7.7%
ו 7
 
7.7%
ְ 6
 
6.6%
א 6
 
6.6%
ד 5
 
5.5%
ב 4
 
4.4%
נ 4
 
4.4%
ל 3
 
3.3%
Other values (17) 28
30.8%
Canadian_Aboriginal
ValueCountFrequency (%)
3
14.3%
2
9.5%
2
9.5%
2
9.5%
2
9.5%
2
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (4) 4
19.0%
Bopomofo
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Kannada
ValueCountFrequency (%)
6
75.0%
2
 
25.0%
Yi
ValueCountFrequency (%)
2
66.7%
1
33.3%
Tibetan
ValueCountFrequency (%)
2
66.7%
1
33.3%
Tamil
ValueCountFrequency (%)
4
100.0%
Oriya
ValueCountFrequency (%)
3
100.0%
Syriac
ValueCountFrequency (%)
ܫ 2
100.0%
Armenian
ValueCountFrequency (%)
֎ 2
100.0%
Gurmukhi
ValueCountFrequency (%)
2
100.0%
Devanagari
ValueCountFrequency (%)
1
100.0%
Gujarati
ValueCountFrequency (%)
1
100.0%
Telugu
ValueCountFrequency (%)
1
100.0%
Cherokee
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44654941
99.4%
Braille 136345
 
0.3%
Cyrillic 32023
 
0.1%
Misc Symbols 17231
 
< 0.1%
None 14990
 
< 0.1%
Block Elements 14197
 
< 0.1%
Diacriticals 10677
 
< 0.1%
Thai 8061
 
< 0.1%
Punctuation 5743
 
< 0.1%
Runic 4532
 
< 0.1%
Other values (49) 18329
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7854422
17.6%
e 4005386
 
9.0%
t 2952395
 
6.6%
a 2801201
 
6.3%
o 2523178
 
5.7%
i 2414974
 
5.4%
n 2193975
 
4.9%
s 2141548
 
4.8%
r 1808764
 
4.1%
l 1564702
 
3.5%
Other values (88) 14394396
32.2%
Braille
ValueCountFrequency (%)
40541
29.7%
40267
29.5%
5553
 
4.1%
2038
 
1.5%
2027
 
1.5%
1654
 
1.2%
1567
 
1.1%
1431
 
1.0%
1327
 
1.0%
1319
 
1.0%
Other values (246) 38621
28.3%
Misc Symbols
ValueCountFrequency (%)
13027
75.6%
3221
 
18.7%
324
 
1.9%
176
 
1.0%
76
 
0.4%
63
 
0.4%
58
 
0.3%
56
 
0.3%
48
 
0.3%
48
 
0.3%
Other values (21) 134
 
0.8%
Block Elements
ValueCountFrequency (%)
5044
35.5%
4271
30.1%
1730
 
12.2%
1155
 
8.1%
756
 
5.3%
748
 
5.3%
166
 
1.2%
151
 
1.1%
60
 
0.4%
28
 
0.2%
Other values (5) 88
 
0.6%
Cyrillic
ValueCountFrequency (%)
о 3563
 
11.1%
а 2577
 
8.0%
е 2479
 
7.7%
т 2161
 
6.7%
и 2124
 
6.6%
н 1880
 
5.9%
р 1634
 
5.1%
с 1443
 
4.5%
в 1262
 
3.9%
л 1174
 
3.7%
Other values (64) 11726
36.6%
Punctuation
ValueCountFrequency (%)
2791
48.6%
461
 
8.0%
361
 
6.3%
354
 
6.2%
300
 
5.2%
281
 
4.9%
269
 
4.7%
199
 
3.5%
173
 
3.0%
125
 
2.2%
Other values (26) 429
 
7.5%
Box Drawing
ValueCountFrequency (%)
2103
58.1%
1096
30.3%
75
 
2.1%
52
 
1.4%
51
 
1.4%
28
 
0.8%
25
 
0.7%
25
 
0.7%
23
 
0.6%
23
 
0.6%
Other values (18) 118
 
3.3%
None
ValueCountFrequency (%)
🔲 1681
 
11.2%
  1070
 
7.1%
¨ 641
 
4.3%
é 566
 
3.8%
ı 547
 
3.6%
á 486
 
3.2%
å 466
 
3.1%
´ 457
 
3.0%
ä 453
 
3.0%
ö 425
 
2.8%
Other values (454) 8198
54.7%
Geometric Shapes
ValueCountFrequency (%)
996
67.1%
131
 
8.8%
64
 
4.3%
64
 
4.3%
64
 
4.3%
64
 
4.3%
27
 
1.8%
15
 
1.0%
15
 
1.0%
12
 
0.8%
Other values (12) 32
 
2.2%
VS
ValueCountFrequency (%)
777
93.3%
56
 
6.7%
Thai
ValueCountFrequency (%)
506
 
6.3%
493
 
6.1%
468
 
5.8%
431
 
5.3%
428
 
5.3%
422
 
5.2%
386
 
4.8%
314
 
3.9%
312
 
3.9%
246
 
3.1%
Other values (49) 4055
50.3%
Runic
ValueCountFrequency (%)
428
 
9.4%
370
 
8.2%
333
 
7.3%
316
 
7.0%
269
 
5.9%
255
 
5.6%
231
 
5.1%
197
 
4.3%
180
 
4.0%
179
 
3.9%
Other values (71) 1774
39.1%
Vertical Forms
ValueCountFrequency (%)
361
100.0%
Dingbats
ValueCountFrequency (%)
354
40.5%
180
20.6%
82
 
9.4%
71
 
8.1%
52
 
5.9%
31
 
3.5%
18
 
2.1%
15
 
1.7%
14
 
1.6%
11
 
1.3%
Other values (14) 47
 
5.4%
Phonetic Ext
ValueCountFrequency (%)
351
19.6%
276
15.4%
274
15.3%
270
15.1%
131
 
7.3%
114
 
6.4%
107
 
6.0%
64
 
3.6%
63
 
3.5%
42
 
2.3%
Other values (15) 100
 
5.6%
Diacriticals
ValueCountFrequency (%)
̶ 249
 
2.3%
͝ 239
 
2.2%
̈́ 216
 
2.0%
͜ 143
 
1.3%
͊ 139
 
1.3%
͑ 135
 
1.3%
̑ 134
 
1.3%
̽ 133
 
1.2%
̃ 133
 
1.2%
͒ 131
 
1.2%
Other values (86) 9025
84.5%
IPA Ext
ValueCountFrequency (%)
ɪ 234
19.0%
ɴ 223
18.1%
ʀ 183
14.8%
ʟ 159
12.9%
ʜ 145
11.8%
ʏ 108
8.8%
ɢ 97
7.9%
ʙ 51
 
4.1%
ʖ 22
 
1.8%
ə 4
 
0.3%
Other values (3) 8
 
0.6%
Arabic
ValueCountFrequency (%)
ا 225
 
13.0%
ل 141
 
8.1%
ي 105
 
6.1%
ه 98
 
5.7%
م 98
 
5.7%
ب 94
 
5.4%
ر 84
 
4.8%
ن 77
 
4.4%
ت 77
 
4.4%
و 74
 
4.3%
Other values (45) 659
38.0%
Currency Symbols
ValueCountFrequency (%)
189
100.0%
Compat Jamo
ValueCountFrequency (%)
159
99.4%
1
 
0.6%
Geometric Shapes Ext
ValueCountFrequency (%)
🟨 113
51.6%
🟦 56
25.6%
🟫 46
21.0%
🟥 2
 
0.9%
🟩 2
 
0.9%
CJK
ValueCountFrequency (%)
90
 
4.0%
83
 
3.7%
73
 
3.3%
72
 
3.2%
72
 
3.2%
35
 
1.6%
35
 
1.6%
34
 
1.5%
29
 
1.3%
29
 
1.3%
Other values (633) 1682
75.3%
Katakana
ValueCountFrequency (%)
76
37.3%
37
18.1%
18
 
8.8%
16
 
7.8%
14
 
6.9%
12
 
5.9%
4
 
2.0%
3
 
1.5%
2
 
1.0%
2
 
1.0%
Other values (14) 20
 
9.8%
Math Alphanum
ValueCountFrequency (%)
𝔢 70
 
4.3%
𝔞 48
 
2.9%
𝔬 48
 
2.9%
𝔱 47
 
2.9%
𝔦 46
 
2.8%
𝔰 43
 
2.6%
𝐄 42
 
2.6%
𝔫 39
 
2.4%
𝖊 36
 
2.2%
𝐎 35
 
2.1%
Other values (229) 1188
72.4%
Math Operators
ValueCountFrequency (%)
37
49.3%
14
 
18.7%
8
 
10.7%
3
 
4.0%
3
 
4.0%
2
 
2.7%
2
 
2.7%
2
 
2.7%
1
 
1.3%
1
 
1.3%
Other values (2) 2
 
2.7%
Georgian
ValueCountFrequency (%)
35
15.3%
21
 
9.2%
16
 
7.0%
13
 
5.7%
12
 
5.2%
11
 
4.8%
10
 
4.4%
10
 
4.4%
9
 
3.9%
9
 
3.9%
Other values (20) 83
36.2%
Misc Technical
ValueCountFrequency (%)
34
81.0%
2
 
4.8%
2
 
4.8%
2
 
4.8%
1
 
2.4%
1
 
2.4%
Letterlike Symbols
ValueCountFrequency (%)
32
76.2%
3
 
7.1%
2
 
4.8%
2
 
4.8%
1
 
2.4%
1
 
2.4%
1
 
2.4%
Emoticons
ValueCountFrequency (%)
😂 28
15.6%
😍 25
13.9%
😎 18
 
10.0%
😊 14
 
7.8%
😁 8
 
4.4%
🙂 7
 
3.9%
😉 6
 
3.3%
😫 5
 
2.8%
😄 5
 
2.8%
😏 5
 
2.8%
Other values (33) 59
32.8%
Hangul
ValueCountFrequency (%)
27
 
3.9%
24
 
3.5%
21
 
3.0%
20
 
2.9%
20
 
2.9%
19
 
2.7%
16
 
2.3%
16
 
2.3%
14
 
2.0%
13
 
1.9%
Other values (233) 504
72.6%
Hiragana
ValueCountFrequency (%)
20
23.8%
7
 
8.3%
5
 
6.0%
5
 
6.0%
5
 
6.0%
4
 
4.8%
4
 
4.8%
3
 
3.6%
2
 
2.4%
2
 
2.4%
Other values (20) 27
32.1%
Tags
ValueCountFrequency (%)
󠀡 18
100.0%
Arrows
ValueCountFrequency (%)
18
36.0%
12
24.0%
12
24.0%
4
 
8.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
1
 
2.0%
Hebrew
ValueCountFrequency (%)
י 13
14.3%
ש 8
 
8.8%
ַ 7
 
7.7%
ו 7
 
7.7%
ְ 6
 
6.6%
א 6
 
6.6%
ד 5
 
5.5%
ב 4
 
4.4%
נ 4
 
4.4%
ל 3
 
3.3%
Other values (17) 28
30.8%
Sinhala
ValueCountFrequency (%)
11
 
11.8%
9
 
9.7%
7
 
7.5%
6
 
6.5%
5
 
5.4%
5
 
5.4%
5
 
5.4%
4
 
4.3%
4
 
4.3%
3
 
3.2%
Other values (21) 34
36.6%
Latin Ext Additional
ValueCountFrequency (%)
7
14.6%
4
 
8.3%
4
 
8.3%
3
 
6.2%
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
Other values (14) 17
35.4%
Kannada
ValueCountFrequency (%)
6
75.0%
2
 
25.0%
Sup Punctuation
ValueCountFrequency (%)
6
100.0%
Modifier Letters
ValueCountFrequency (%)
ʰ 4
21.1%
ʳ 3
15.8%
˶ 2
10.5%
˘ 2
10.5%
˂ 2
10.5%
˃ 2
10.5%
ˈ 2
10.5%
ˢ 1
 
5.3%
ʸ 1
 
5.3%
Tamil
ValueCountFrequency (%)
4
100.0%
Enclosed Alphanum Sup
ValueCountFrequency (%)
🆒 4
33.3%
🇳 2
16.7%
🇴 1
 
8.3%
🇨 1
 
8.3%
🇮 1
 
8.3%
🇹 1
 
8.3%
🇫 1
 
8.3%
🇷 1
 
8.3%
Oriya
ValueCountFrequency (%)
3
100.0%
UCAS
ValueCountFrequency (%)
3
14.3%
2
9.5%
2
9.5%
2
9.5%
2
9.5%
2
9.5%
1
 
4.8%
1
 
4.8%
1
 
4.8%
1
 
4.8%
Other values (4) 4
19.0%
Syriac
ValueCountFrequency (%)
ܫ 2
100.0%
Number Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Yi Syllables
ValueCountFrequency (%)
2
66.7%
1
33.3%
Armenian
ValueCountFrequency (%)
֎ 2
100.0%
Tibetan
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK Compat Forms
ValueCountFrequency (%)
2
66.7%
1
33.3%
Gurmukhi
ValueCountFrequency (%)
2
100.0%
Bopomofo
ValueCountFrequency (%)
2
40.0%
1
20.0%
1
20.0%
1
20.0%
Sup Math Operators
ValueCountFrequency (%)
1
50.0%
1
50.0%
Devanagari
ValueCountFrequency (%)
1
100.0%
Jamo
ValueCountFrequency (%)
1
100.0%
Gujarati
ValueCountFrequency (%)
1
100.0%
Telugu
ValueCountFrequency (%)
1
100.0%
Cyrillic Sup
ValueCountFrequency (%)
ԁ 1
100.0%
Phonetic Ext Sup
ValueCountFrequency (%)
1
100.0%
Cherokee
ValueCountFrequency (%)
1
100.0%

recommended
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size238.2 KiB
True
232339 
False
 
11457
ValueCountFrequency (%)
True 232339
95.3%
False 11457
 
4.7%
2023-08-13T16:18:54.175816image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

votes_up
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct287
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.94564718
Minimum0
Maximum12801
Zeros190514
Zeros (%)78.1%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:54.333664image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12801
Range12801
Interquartile range (IQR)0

Descriptive statistics

Standard deviation39.007339
Coefficient of variation (CV)41.249358
Kurtosis56059.18
Mean0.94564718
Median Absolute Deviation (MAD)0
Skewness203.61114
Sum230545
Variance1521.5725
MonotonicityNot monotonic
2023-08-13T16:18:54.547190image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190514
78.1%
1 38416
 
15.8%
2 8566
 
3.5%
3 2642
 
1.1%
4 1121
 
0.5%
5 633
 
0.3%
6 376
 
0.2%
7 222
 
0.1%
8 155
 
0.1%
9 110
 
< 0.1%
Other values (277) 1041
 
0.4%
ValueCountFrequency (%)
0 190514
78.1%
1 38416
 
15.8%
2 8566
 
3.5%
3 2642
 
1.1%
4 1121
 
0.5%
5 633
 
0.3%
6 376
 
0.2%
7 222
 
0.1%
8 155
 
0.1%
9 110
 
< 0.1%
ValueCountFrequency (%)
12801 1
< 0.1%
7545 1
< 0.1%
4799 1
< 0.1%
4551 1
< 0.1%
3885 1
< 0.1%
3665 1
< 0.1%
2555 1
< 0.1%
2294 1
< 0.1%
2215 1
< 0.1%
2169 1
< 0.1%

votes_funny
Real number (ℝ)

SKEWED  ZEROS 

Distinct131
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19794418
Minimum0
Maximum3819
Zeros229418
Zeros (%)94.1%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:54.805921image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum3819
Range3819
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.363246
Coefficient of variation (CV)52.354383
Kurtosis83428.813
Mean0.19794418
Median Absolute Deviation (MAD)0
Skewness255.12259
Sum48258
Variance107.39686
MonotonicityNot monotonic
2023-08-13T16:18:55.124403image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229418
94.1%
1 11119
 
4.6%
2 1800
 
0.7%
3 560
 
0.2%
4 263
 
0.1%
5 161
 
0.1%
6 76
 
< 0.1%
7 59
 
< 0.1%
8 26
 
< 0.1%
10 25
 
< 0.1%
Other values (121) 289
 
0.1%
ValueCountFrequency (%)
0 229418
94.1%
1 11119
 
4.6%
2 1800
 
0.7%
3 560
 
0.2%
4 263
 
0.1%
5 161
 
0.1%
6 76
 
< 0.1%
7 59
 
< 0.1%
8 26
 
< 0.1%
9 22
 
< 0.1%
ValueCountFrequency (%)
3819 1
< 0.1%
2034 1
< 0.1%
1225 1
< 0.1%
1124 1
< 0.1%
777 1
< 0.1%
618 1
< 0.1%
616 1
< 0.1%
552 1
< 0.1%
432 1
< 0.1%
393 1
< 0.1%

weighted_vote_score
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11254
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12625959
Minimum0
Maximum0.98734313
Zeros183422
Zeros (%)75.2%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:55.403713image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.52380955
Maximum0.98734313
Range0.98734313
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.22133097
Coefficient of variation (CV)1.7529834
Kurtosis-0.46353409
Mean0.12625959
Median Absolute Deviation (MAD)0
Skewness1.209239
Sum30781.584
Variance0.048987396
MonotonicityNot monotonic
2023-08-13T16:18:55.644210image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183422
75.2%
0.5238095522 21713
 
8.9%
0.4761904776 3701
 
1.5%
0.5217391253 3050
 
1.3%
0.5454545617 2465
 
1.0%
0.5258620381 1105
 
0.5%
0.5199999809 973
 
0.4%
0.5435684919 690
 
0.3%
0.5 680
 
0.3%
0.4782608747 555
 
0.2%
Other values (11244) 25442
 
10.4%
ValueCountFrequency (%)
0 183422
75.2%
0.05176601559 1
 
< 0.1%
0.05209301785 1
 
< 0.1%
0.05886371434 1
 
< 0.1%
0.0703176707 1
 
< 0.1%
0.07624514401 1
 
< 0.1%
0.09101685137 1
 
< 0.1%
0.09978618473 1
 
< 0.1%
0.1087437794 1
 
< 0.1%
0.111699082 1
 
< 0.1%
ValueCountFrequency (%)
0.9873431325 1
< 0.1%
0.978090167 1
< 0.1%
0.9708840251 1
< 0.1%
0.9703885913 1
< 0.1%
0.9696296453 1
< 0.1%
0.9687287807 1
< 0.1%
0.9653742313 1
< 0.1%
0.9638834 1
< 0.1%
0.9636279941 1
< 0.1%
0.9583317637 1
< 0.1%

comment_count
Real number (ℝ)

SKEWED  ZEROS 

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.040410835
Minimum0
Maximum227
Zeros239599
Zeros (%)98.3%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:55.876818image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum227
Range227
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.911759
Coefficient of variation (CV)22.562241
Kurtosis24790.811
Mean0.040410835
Median Absolute Deviation (MAD)0
Skewness129.01329
Sum9852
Variance0.83130447
MonotonicityNot monotonic
2023-08-13T16:18:56.119988image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 239599
98.3%
1 2717
 
1.1%
2 739
 
0.3%
3 291
 
0.1%
4 139
 
0.1%
5 69
 
< 0.1%
6 54
 
< 0.1%
7 33
 
< 0.1%
8 20
 
< 0.1%
10 17
 
< 0.1%
Other values (39) 118
 
< 0.1%
ValueCountFrequency (%)
0 239599
98.3%
1 2717
 
1.1%
2 739
 
0.3%
3 291
 
0.1%
4 139
 
0.1%
5 69
 
< 0.1%
6 54
 
< 0.1%
7 33
 
< 0.1%
8 20
 
< 0.1%
9 13
 
< 0.1%
ValueCountFrequency (%)
227 1
< 0.1%
172 1
< 0.1%
136 1
< 0.1%
100 1
< 0.1%
87 1
< 0.1%
82 1
< 0.1%
73 1
< 0.1%
61 1
< 0.1%
54 1
< 0.1%
52 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size238.2 KiB
True
210581 
False
33215 
ValueCountFrequency (%)
True 210581
86.4%
False 33215
 
13.6%
2023-08-13T16:18:56.370651image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

received_for_free
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size238.2 KiB
False
239714 
True
 
4082
ValueCountFrequency (%)
False 239714
98.3%
True 4082
 
1.7%
2023-08-13T16:18:56.526081image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

steamid
Real number (ℝ)

UNIQUE 

Distinct243796
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6561198 × 1016
Minimum7.6561198 × 1016
Maximum7.65612 × 1016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:56.748586image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum7.6561198 × 1016
5-th percentile7.6561198 × 1016
Q17.6561198 × 1016
median7.6561198 × 1016
Q37.6561198 × 1016
95-th percentile7.6561199 × 1016
Maximum7.65612 × 1016
Range1.5517193 × 109
Interquartile range (IQR)3.0900125 × 108

Descriptive statistics

Standard deviation3.7511685 × 108
Coefficient of variation (CV)4.8995687 × 10-9
Kurtosis0.41680541
Mean7.6561198 × 1016
Median Absolute Deviation (MAD)1.020186 × 108
Skewness1.3776501
Sum-2.7911055 × 1018
Variance1.4071265 × 1017
MonotonicityNot monotonic
2023-08-13T16:18:56.985849image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.656119809 × 10161
 
< 0.1%
7.656119799 × 10161
 
< 0.1%
7.656119808 × 10161
 
< 0.1%
7.656119846 × 10161
 
< 0.1%
7.656119827 × 10161
 
< 0.1%
7.656119805 × 10161
 
< 0.1%
7.656119797 × 10161
 
< 0.1%
7.656119804 × 10161
 
< 0.1%
7.656119798 × 10161
 
< 0.1%
7.656119797 × 10161
 
< 0.1%
Other values (243786) 243786
> 99.9%
ValueCountFrequency (%)
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
7.656119796 × 10161
< 0.1%
ValueCountFrequency (%)
7.656119951 × 10161
< 0.1%
7.656119951 × 10161
< 0.1%
7.656119951 × 10161
< 0.1%
7.656119951 × 10161
< 0.1%
7.656119951 × 10161
< 0.1%
7.656119951 × 10161
< 0.1%
7.65611995 × 10161
< 0.1%
7.65611995 × 10161
< 0.1%
7.65611995 × 10161
< 0.1%
7.65611995 × 10161
< 0.1%

num_games_owned
Real number (ℝ)

ZEROS 

Distinct2105
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.462341
Minimum0
Maximum19536
Zeros156986
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:57.280812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q374
95-th percentile383
Maximum19536
Range19536
Interquartile range (IQR)74

Descriptive statistics

Standard deviation227.99201
Coefficient of variation (CV)2.9057508
Kurtosis541.58573
Mean78.462341
Median Absolute Deviation (MAD)0
Skewness13.768359
Sum19128805
Variance51980.358
MonotonicityNot monotonic
2023-08-13T16:18:57.629598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 156986
64.4%
53 480
 
0.2%
46 464
 
0.2%
51 456
 
0.2%
44 456
 
0.2%
39 453
 
0.2%
32 452
 
0.2%
54 452
 
0.2%
38 448
 
0.2%
55 447
 
0.2%
Other values (2095) 82702
33.9%
ValueCountFrequency (%)
0 156986
64.4%
1 33
 
< 0.1%
2 44
 
< 0.1%
3 89
 
< 0.1%
4 81
 
< 0.1%
5 105
 
< 0.1%
6 114
 
< 0.1%
7 153
 
0.1%
8 158
 
0.1%
9 186
 
0.1%
ValueCountFrequency (%)
19536 1
< 0.1%
15321 1
< 0.1%
11402 1
< 0.1%
11116 1
< 0.1%
10704 1
< 0.1%
10674 1
< 0.1%
10553 1
< 0.1%
9768 1
< 0.1%
8837 1
< 0.1%
8587 1
< 0.1%

num_reviews
Real number (ℝ)

SKEWED 

Distinct422
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.364633
Minimum1
Maximum2552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:18:57.926088image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q312
95-th percentile41
Maximum2552
Range2551
Interquartile range (IQR)10

Descriptive statistics

Standard deviation24.070047
Coefficient of variation (CV)2.1179784
Kurtosis1130.1785
Mean11.364633
Median Absolute Deviation (MAD)3
Skewness20.166964
Sum2770652
Variance579.36717
MonotonicityNot monotonic
2023-08-13T16:18:58.148792image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 38345
15.7%
2 30807
12.6%
3 24134
 
9.9%
4 19317
 
7.9%
5 15762
 
6.5%
6 12871
 
5.3%
7 10800
 
4.4%
8 9131
 
3.7%
9 7777
 
3.2%
10 6673
 
2.7%
Other values (412) 68179
28.0%
ValueCountFrequency (%)
1 38345
15.7%
2 30807
12.6%
3 24134
9.9%
4 19317
7.9%
5 15762
6.5%
6 12871
 
5.3%
7 10800
 
4.4%
8 9131
 
3.7%
9 7777
 
3.2%
10 6673
 
2.7%
ValueCountFrequency (%)
2552 1
< 0.1%
1969 1
< 0.1%
1587 1
< 0.1%
1418 1
< 0.1%
1324 1
< 0.1%
1273 1
< 0.1%
1154 1
< 0.1%
1111 1
< 0.1%
1100 1
< 0.1%
1081 1
< 0.1%
Distinct241140
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
Minimum2021-02-02 15:04:25
Maximum2023-06-19 18:59:39
2023-08-13T16:18:58.374544image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:58.678629image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct241298
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
Minimum2021-02-02 15:04:25
Maximum2023-06-19 18:59:39
2023-08-13T16:18:58.931251image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:59.190176image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct242435
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
Minimum2021-02-02 15:41:35
Maximum2023-06-19 19:59:41
2023-08-13T16:18:59.518273image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:59.774011image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

playtime_forever_hour
Real number (ℝ)

HIGH CORRELATION 

Distinct12952
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.3866
Minimum0
Maximum20276.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:19:00.355880image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.5
Q151
median109.2
Q3216.8
95-th percentile598.325
Maximum20276.8
Range20276.8
Interquartile range (IQR)165.8

Descriptive statistics

Standard deviation304.85813
Coefficient of variation (CV)1.6182581
Kurtosis363.78869
Mean188.3866
Median Absolute Deviation (MAD)70.6
Skewness11.40304
Sum45927900
Variance92938.482
MonotonicityNot monotonic
2023-08-13T16:19:00.592411image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 199
 
0.1%
0.4 184
 
0.1%
24.4 177
 
0.1%
20.6 177
 
0.1%
0.6 173
 
0.1%
25.4 172
 
0.1%
14 170
 
0.1%
1 168
 
0.1%
56.8 168
 
0.1%
31.8 167
 
0.1%
Other values (12942) 242041
99.3%
ValueCountFrequency (%)
0 1
 
< 0.1%
0.1 98
< 0.1%
0.2 199
0.1%
0.3 118
< 0.1%
0.4 184
0.1%
0.5 132
0.1%
0.6 173
0.1%
0.7 112
< 0.1%
0.8 136
0.1%
0.9 112
< 0.1%
ValueCountFrequency (%)
20276.8 1
< 0.1%
18363.3 1
< 0.1%
18087.1 1
< 0.1%
15262.7 1
< 0.1%
14567.2 1
< 0.1%
13917.9 1
< 0.1%
13304.6 1
< 0.1%
12496.9 1
< 0.1%
12160.6 1
< 0.1%
10763.6 1
< 0.1%

playtime_last_two_weeks_hour
Real number (ℝ)

ZEROS 

Distinct1089
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0266571
Minimum0
Maximum333.9
Zeros224816
Zeros (%)92.2%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:19:00.926547image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum333.9
Range333.9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.4722715
Coefficient of variation (CV)7.2782542
Kurtosis370.26895
Mean1.0266571
Median Absolute Deviation (MAD)0
Skewness15.313897
Sum250294.9
Variance55.834841
MonotonicityNot monotonic
2023-08-13T16:19:01.137256image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 224816
92.2%
0.1 1087
 
0.4%
0.2 935
 
0.4%
0.4 554
 
0.2%
0.3 450
 
0.2%
0.6 415
 
0.2%
0.5 359
 
0.1%
1 352
 
0.1%
0.8 310
 
0.1%
1.2 292
 
0.1%
Other values (1079) 14226
 
5.8%
ValueCountFrequency (%)
0 224816
92.2%
0.1 1087
 
0.4%
0.2 935
 
0.4%
0.3 450
 
0.2%
0.4 554
 
0.2%
0.5 359
 
0.1%
0.6 415
 
0.2%
0.7 255
 
0.1%
0.8 310
 
0.1%
0.9 241
 
0.1%
ValueCountFrequency (%)
333.9 1
< 0.1%
333.5 1
< 0.1%
330.7 1
< 0.1%
328.3 1
< 0.1%
314.8 1
< 0.1%
314.3 1
< 0.1%
308.9 1
< 0.1%
308.1 1
< 0.1%
307.8 1
< 0.1%
304.2 1
< 0.1%

playtime_at_review_hour
Real number (ℝ)

HIGH CORRELATION 

Distinct7178
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.22876
Minimum0.1
Maximum10195.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 MiB
2023-08-13T16:19:01.446610image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile3.5
Q112
median32.9
Q378.4
95-th percentile236.3
Maximum10195.2
Range10195.1
Interquartile range (IQR)66.4

Descriptive statistics

Standard deviation131.42616
Coefficient of variation (CV)1.898433
Kurtosis331.87878
Mean69.22876
Median Absolute Deviation (MAD)25.1
Skewness10.976204
Sum16877695
Variance17272.837
MonotonicityNot monotonic
2023-08-13T16:19:01.690072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2 1015
 
0.4%
3.4 997
 
0.4%
4 993
 
0.4%
3.6 980
 
0.4%
3.8 944
 
0.4%
4.2 939
 
0.4%
4.4 896
 
0.4%
5 877
 
0.4%
5.2 834
 
0.3%
5.4 822
 
0.3%
Other values (7168) 234499
96.2%
ValueCountFrequency (%)
0.1 205
0.1%
0.2 362
0.1%
0.3 242
0.1%
0.4 344
0.1%
0.5 274
0.1%
0.6 327
0.1%
0.7 222
0.1%
0.8 270
0.1%
0.9 212
0.1%
1 395
0.2%
ValueCountFrequency (%)
10195.2 1
< 0.1%
6539.2 1
< 0.1%
5933.9 1
< 0.1%
5904.4 1
< 0.1%
5749.3 1
< 0.1%
5089.2 1
< 0.1%
4332.3 1
< 0.1%
4297.5 1
< 0.1%
4229.6 1
< 0.1%
4229.2 1
< 0.1%
Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
Minimum2021-02-01 00:00:00
Maximum2023-06-01 00:00:00
2023-08-13T16:19:01.961236image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:19:02.165164image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
Minimum2021-02-01 00:00:00
Maximum2023-06-01 00:00:00
2023-08-13T16:19:02.481927image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:19:02.702335image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size1.9 MiB
Minimum2021-02-01 00:00:00
Maximum2023-06-01 00:00:00
2023-08-13T16:19:02.941832image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:19:03.182495image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

Interactions

2023-08-13T16:18:46.688316image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:19.026015image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:21.410985image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:24.088500image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:27.154819image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:29.879030image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:32.460177image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:35.214010image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:38.116477image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:40.793328image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:43.737154image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:46.972612image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:19.233782image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:21.621696image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:24.407769image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:27.371551image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:30.151697image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:32.725228image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:35.443014image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:38.373345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:41.062958image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:44.045194image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:47.214072image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:19.487229image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:21.827080image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:24.674383image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:27.597738image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:30.376359image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:33.022224image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:35.731587image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:38.574129image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:41.352030image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:44.261708image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:47.727568image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:19.703133image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:22.056812image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:24.927408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:27.871555image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:30.589052image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:33.274976image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:36.204181image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:38.887242image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:41.620680image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:44.495807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:47.930719image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:19.910250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:22.304424image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:25.185673image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:28.109165image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:30.874063image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:33.479626image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:36.461538image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:39.123912image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:41.881683image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:44.722311image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:48.158345image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:20.093925image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:22.511608image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:25.396250image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:28.334736image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:31.054774image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:33.676388image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:36.670221image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:39.353001image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:42.066363image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:44.901836image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:48.394529image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:20.305318image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:22.764288image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:25.727656image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:28.584388image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:31.279453image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:33.933974image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:36.930807image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:39.666445image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:42.303061image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:45.127473image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:48.625055image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:20.530981image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:23.038349image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:25.972375image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:28.820096image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:31.540989image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:34.190666image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:37.208643image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:39.867601image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:42.615140image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:45.407071image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:48.892482image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:20.726670image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:23.242497image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:26.236796image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:29.042792image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:31.737724image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:34.415394image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:37.413357image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:40.095787image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:42.887589image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:45.736372image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:49.149822image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:20.946408image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:23.536961image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:26.640598image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:29.280478image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:31.974424image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:34.752674image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:37.674404image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:40.319877image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:43.199644image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:46.005703image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:49.374151image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:21.187351image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:23.828998image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:26.874784image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:29.609147image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:32.187126image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:35.009338image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:37.895686image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:40.580604image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:43.484707image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
2023-08-13T16:18:46.365789image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/

Correlations

2023-08-13T16:19:03.453567image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
recommendationidvotes_upvotes_funnyweighted_vote_scorecomment_countsteamidnum_games_ownednum_reviewsplaytime_forever_hourplaytime_last_two_weeks_hourplaytime_at_review_hourrecommendedsteam_purchasereceived_for_free
recommendationid1.000-0.086-0.012-0.083-0.0010.197-0.059-0.0720.0300.1360.3510.1080.0660.016
votes_up-0.0861.0000.1900.8610.102-0.0880.0980.120-0.001-0.019-0.0190.0000.0000.000
votes_funny-0.0120.1901.0000.1740.114-0.0140.0580.075-0.060-0.015-0.0440.0000.0000.000
weighted_vote_score-0.0830.8610.1741.0000.102-0.0690.1020.128-0.009-0.017-0.0310.4910.0260.024
comment_count-0.0010.1020.1140.1021.0000.0100.0360.042-0.010-0.000-0.0080.0170.0020.000
steamid0.197-0.088-0.014-0.0690.0101.000-0.074-0.156-0.1750.037-0.1220.0370.0670.060
num_games_owned-0.0590.0980.0580.1020.036-0.0741.0000.301-0.117-0.044-0.0640.0080.0060.000
num_reviews-0.0720.1200.0750.1280.042-0.1560.3011.000-0.154-0.054-0.1620.0160.0070.000
playtime_forever_hour0.030-0.001-0.060-0.009-0.010-0.175-0.117-0.1541.0000.2290.6180.0050.0030.010
playtime_last_two_weeks_hour0.136-0.019-0.015-0.017-0.0000.037-0.044-0.0540.2291.0000.1220.0070.0080.007
playtime_at_review_hour0.351-0.019-0.044-0.031-0.008-0.122-0.064-0.1620.6180.1221.0000.0000.0000.008
recommended0.1080.0000.0000.4910.0170.0370.0080.0160.0050.0070.0001.0000.0220.003
steam_purchase0.0660.0000.0000.0260.0020.0670.0060.0070.0030.0080.0000.0221.0000.193
received_for_free0.0160.0000.0000.0240.0000.0600.0000.0000.0100.0070.0080.0030.1931.000

Missing values

2023-08-13T16:18:50.044113image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-13T16:18:51.117983image/svg+xmlMatplotlib v3.7.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

recommendationidreviewrecommendedvotes_upvotes_funnyweighted_vote_scorecomment_countsteam_purchasereceived_for_freesteamidnum_games_ownednum_reviewstimestamp_created_utctimestamp_updated_utclast_played_utcplaytime_forever_hourplaytime_last_two_weeks_hourplaytime_at_review_hourtimestamp_created_utc_ymtimestamp_updated_utc_ymlast_played_utc_ym
0140348666I played this for 99 minutes EXACTLY. and I HATED EVERY MILLISECOND\r\nThe levelling system makes NO SENSE! and i DONT KNOW how to get ENCHANTED or COPPER WEPAONS!!! i can't level up my BOW SKILL! YOU FAGGOTS!!! The houses look like theyt were fucking sneezed, like PAINT onto a FUCKING CANVAS!!!! WHY ARE THE NPCS DRESSED SO PROVOCATIVELY! I cannot get a pet dog!! i dont know what the FUCK the "amethyst of taming" is AND I DONT KNOW WHERE TO GET IT! FU!CK YOUYRSELF!!!False000.0000000FalseFalse7656119809000782880782023-06-19 18:59:392023-06-19 18:59:392021-02-28 11:10:111.60.01.62023-062023-062021-02
1140347990this game is amazing, and even better with the right mods.True000.0000000TrueFalse76561199501472502032023-06-19 18:46:332023-06-19 18:46:332023-06-19 19:24:0329.829.829.22023-062023-062023-06
2140347860GAME IS horrible gave me fucking cancer soundFalse100.5238101TrueFalse765611994696488691012023-06-19 18:43:532023-06-19 18:43:532023-06-19 18:42:4519.43.019.42023-062023-062023-06
3140345029The only bad thing about this game is the amount of time between updates. Even then, most updates are fantastic. Devs listen to players and Devs diligently work to fix any bugs that may come out.True000.0000000TrueFalse76561198082594466042023-06-19 17:47:352023-06-19 17:47:352023-06-19 17:48:05384.80.0384.82023-062023-062023-06
4140343169niceTrue000.0000000TrueFalse765611981125785002022023-06-19 17:09:312023-06-19 17:09:312023-06-19 19:13:1249.72.047.62023-062023-062023-06
5140342842Great game, both alone and with friends. The balancing is a bit all over the place and its still a bit too grindy to recommend it to everyone, but I would be lying if I said i didn't enjoy what is already there.\r\nHope this game gets lots of content updates to flesh out the experience even further. A flying mount for the last area would be nice...True000.0000000TrueFalse765611980099762016672023-06-19 17:02:252023-06-19 17:02:252023-06-19 16:34:55180.220.0180.22023-062023-062023-06
6140339702⠛⠕⠕⠙True000.0000000TrueFalse7656119800256667601832023-06-19 15:58:192023-06-19 15:58:192021-03-15 00:37:5887.30.087.32023-062023-062021-03
7140338366!True010.0000000FalseFalse76561199241216218022023-06-19 15:32:162023-06-19 15:32:162023-06-19 15:32:0531.631.631.62023-062023-062023-06
8140336728Valheim is my most played game so far. It's super good but if I had complaints, they'd be as follows.\r\n\r\n- the ground is difficult to flatten properly, even with multiple tools.\r\n- stamina is always an issue and base stats don't ever raise so if you don't eat the right foods you can get one shotted end game, which I think is really lame.\r\n- it's just generally too reliant on food crafting for me, especially since I can have 200 stamina points and still die from running out of stamina. Very imbalanced imo.\r\n- losing skill points when you die is really frustrating. I'm end game and am a lower level than I was halfway through. It takes too many points and doesn't give anything to pad it out in return. I got swords to level 24, died a few times and my sword skill got knocked back down to like 10. It's not fair. And that's a comment from me who is obsessed with Dark Souls. It's not a matter of getting good, it's a matter of not dying to bullshit like getting overwhelmed by enemies who love to spawn as soon as your food and rested status wears off while you're in the middle of trying to build.\r\n- building skills never level up, and they really should. Making things cost less materials after reaching higher levels would be nice. \r\n- nobody needs a workbench to put rocks down, this is stupid.\r\n- workbenches, stonecutters, forges, etc have limited range and it is SO FRUSTRATING having to stop and build ANOTHER WORKBENCH etc. I'm trying to get lost in the sauce here yo.\r\n- combat is usually unsatisfying due to either being overwhelmed and running out of stamina or not being able to actually target enemies.\r\n- enemy ai is dumb. Lower level enemies should fuck off after so long but they plague you the entire game while you're trying to build. You'd think a greyling would know better than to mess with a viking with a black metal sword and padded armor but here I am taking 0.2 points of damage and getting my ground leveling screwed up bc somehow a beginner enemy is still knocking me back like I weigh nothing. Irritating.\r\n\r\nAll that complaining aside, it's a really fun game, especially with friends. I give it a 5/7.True000.0000000TrueFalse76561198025478724052023-06-19 15:00:302023-06-19 15:00:302023-06-19 19:25:11594.847.8592.52023-062023-062023-06
9140336246Overwhelming positive btwFalse010.4575160TrueFalse765611981094294996712023-06-19 14:50:182023-06-19 14:50:182023-06-19 14:48:1742.79.842.72023-062023-062023-06
recommendationidreviewrecommendedvotes_upvotes_funnyweighted_vote_scorecomment_countsteam_purchasereceived_for_freesteamidnum_games_ownednum_reviewstimestamp_created_utctimestamp_updated_utclast_played_utcplaytime_forever_hourplaytime_last_two_weeks_hourplaytime_at_review_hourtimestamp_created_utc_ymtimestamp_updated_utc_ymlast_played_utc_ym
24378685828288*UPDATED REVIEW after 70 hours*\r\n\r\n===[ Player Bases: ]===\r\n☐ Kids\r\n☐ Everyone\r\n☑ Casual players\r\n☑ Gamers\r\n☑ Hardcore Gamers\r\n\r\nThe game is for anyone who like to spend some times on this game to beat every aspect of this game has to offers. So yeah stick to the blue ticks above.\r\n\r\n===[ ☼ Graphics: ]===\r\n☐ Minecraft\r\n☐ Really bad\r\n☐ Bad\r\n☐ OK\r\n☑ Good\r\n☐ Beautiful\r\n☐ Masterpiece\r\n\r\nIt's one of the most arguably thing on this review but i already discuss about this on the comment section, it's pretty good for me but maybe not for everyone.\r\n\r\n===[ Price/quality: ]===\r\n☑ Full price\r\n☑ Wait for sale\r\n☐ Average\r\n☐ Refund it if you can\r\n☐ Don't do it\r\n☐ Free\r\n\r\nI put two option here, here i copy from my reply on the comment section "regarding why i suggest the game full price and on sale i just want to gave people option, like if you think you could value the "Early Access Content and support the dev, you can just go full price." but if you still confused rather to give it a try or not, you could just probably buy it on sale because from my perspective, this game is a must grab. If you think to buy it like once or twice. Maybe "you" could just buy the game with discounted price if you think the content didn't match the price and you want to wait the game on sale to match your budget"\r\n\r\n===[ ☣ Requirements: ]===\r\n☐ 90' PC\r\n☐ Minimum\r\n☑ Medium\r\n☑ Fast\r\n☐ High end\r\n☐ NASA computer\r\n\r\nEventho maybe for some people the graphic is not for them, surprisingly this game need a pretty decent rig to run well.\r\n\r\n===[ ☼ Difficulty: ]===\r\n☐ You just need 2 arms\r\n☐ Ez\r\n☑ Easy to learn / Hard to master\r\n☑ Hard (couples of hours getting beat up)\r\n☐ Nope\r\n\r\nThe game is kinda easy to learn, you can block, dodge the enemy, the hunger bar is not demanding, there's no thirst. The mats to build your base is not that hard to gather. I just beat the 2nd boss alone and it's tough, it destroy 1/3 of the forest when i'm gettin beaten (lol).\r\n\r\n===[Game time/length ]===\r\n☐ Really short ( 0 - 2 hours)\r\n☐ Short ( 2 - 10 hours)\r\n☐ Few hours ( 8 - 20 hours)\r\n☐ Long ( 30+ hours)\r\n☑ Endless (Depends on the player)\r\n\r\nThe procedural generation means you might not face a same run every time you create a new map. But still, it depends on the player. And on the roadmap, the devs will add Sandbox Mode too.\r\n\r\n===[ Story] ===\r\n☑ Need to dig more first\r\n☐ It doesn't have\r\n☐ Still better than Twilight\r\n☐ Okay\r\n☐ Quite Good\r\n☐ Fantastic\r\n\r\nAfter having some more hours, i could say the story is not the main charm in this game but still i will try to beat the final boss 1st and later i'll update this part of review.\r\n\r\n===[ Bugs ]===\r\n☐ 24/7 Bugs\r\n☐ Bugs sometimes crashing the game sometimes\r\n☐ Some bugs there and there\r\n☑ Few Bugs \r\n☐ Nothing\r\n\r\nI just found 1 bug after some hours playing, the enemy (archer skeleton) inside the Burial Chambers got stuck inside a wall but still can hit me and there's no way i can kill it.\r\n\r\n===[ ♬ Sound/Music] ===\r\n☑ Great atmosphere\r\n☐ Story Narration\r\n☑ For every action\r\n☐ Too much music\r\n☐ it only turns away\r\n\r\n\r\n8.5/10 for an EA game\r\nThe game is fun so far, like i'm kinda addicted. \r\nFor Odin!\r\nNB : The development (new features + content) is a bit slow for a game with a community this big.True157100.60334828TrueFalse76561198092834189399632021-02-02 15:58:352022-07-09 05:56:372022-07-09 07:11:5475.60.00.52021-022022-072022-07
24378785827982Re-reviewing this game after buying it again for the 3rd time .. \r\n\r\nSo after playing the game for 400hrs + i def can say that this game took me quite a bit to get use to. The thing that drove me to enjoy this game even more so was having friends to play with, and create your own adventure.\r\n\r\nAt first we all started together and started a small place where we all shared our resources and finding to help each other. As we progressed in the game we all venture out to our own island and creating our own place but we always still use the main base as our main hub to meet up.\r\n\r\nThe reason i'm giving this review a recommendation is due to the sheer amount of sandbox and creativity you can do with this game. With countless way to play now due to the great modding community behind the game there's endless way to play.\r\n\r\nWith a huge road map ahead i can't wait to see the updates the devs gonna give us :).True000.2806950TrueFalse76561198023490291303582021-02-02 15:53:292021-03-20 23:22:412022-11-23 07:33:39401.40.00.22021-022021-032022-11
24378885827981Quickly tried it out to get a sense of the core mechanics, will be trying the game in coop later. \r\n\r\nThe game runs well. The combat feels "beefy", hitting a boar with a club is weirdly satisfying. The crafting elements are easy to follow. The UI is clean (although not prefect). The tutorial doesn't really explain how to do stuff, just what you need to do, it took me a while to figure out how to collect stone since it didn't tell me specifically how to, I went around just punching rocks until I eventually found a little rock on the floor. It's a weird blend between survival and MMO and i'm all for it! I hope they look into public community servers / official dedicated at some point in the future, as that is not currently in here. \r\n\r\nThat's about all I experienced, I personally wouldn't be able to play this game solo but that's just me, I think with friends though it could be a ton of fun!True3400.6151710FalseFalse765611980872328304641192021-02-02 15:53:272021-02-02 16:02:192023-03-04 23:39:2043.80.00.32021-022021-022023-03
24378985827850First impressions only, way too earlier for a review. I have played way too many games of this genre, so always looking out for the next one to play. This one caught my eye and I can say, I won't be asking for any refunds. First impressions are good and I will be playing more (and perhaps getting a copy for my son, since we usually play these together). Had no issues in the little time I played (beyond way too small initial resolution - could barely read anything to change it, lol). The graphics are fine, the trailers are not the best example (was my impression when watching them), think of it as a higher resolution Minecraft. The hammer controlling the ability to craft at first seemed a little odd, but not bad once used to it. Looking forward to seeing more of the game, so if you are a fan of this style of game, I would recommend giving it a try, I may or may not update this first impression, lol.True500.5342510TrueFalse76561198006893036263142021-02-02 15:51:152021-02-02 15:53:092023-05-28 14:28:57134.00.00.42021-022021-022023-05
24379085827391-False100.2423950TrueTrue765611982807639112892502021-02-02 15:42:242021-03-04 22:59:592021-02-02 15:41:350.30.00.32021-022021-032021-02
24379185826461Dont think. buy.\r\n\r\nEdit: I HAVE NOT CHANGED MY MIND HOLY F BUY IT. SO FUNTrue1510.4606190TrueFalse7656119804220458332342021-02-02 15:24:162021-02-04 16:22:372023-01-17 04:51:1661.40.00.12021-022021-022023-01
24379285826358Watch out for falling trees!True1731080.8197910FalseFalse76561198016445504022021-02-02 15:22:042021-02-02 15:22:042023-05-04 08:25:51111.70.039.82021-022021-022023-05
24379385825877A great adventure awaits!\r\n\r\nThe gameplay is very polished. Especially considering it's Early Access.True300.4691940FalseTrue7656119797138628659772021-02-02 15:13:262021-02-03 11:39:592022-12-18 07:30:12172.40.06.62021-022021-022022-12
24379485825517A fantastic survival exploration game set in a great procedural generation system. The boss battles are insane. Game is badass. Will be great with friends.\r\n\r\n8.5/10 \r\n\r\nYou can read my full review here:\r\nhttps://www.setreadygame.com/reviews/gamereviews/bring-order-to-the-10th-norse-realm-valheim-review/\r\n\r\nTry it out if you like survival games. Don't be scared by the early access tag\r\n\r\nEdit: Guys who are still on the fence. It has Swedish viking metal when you fight boss battles. Just buy it already.True6930.5543220FalseTrue76561198067654166052021-02-02 15:07:052021-02-02 19:01:022023-02-11 23:06:56244.10.019.22021-022021-022023-02
24379585825364Really fun game! May Odin be with you!True4110.5623820FalseFalse76561197981376973012021-02-02 15:04:252021-02-02 15:04:252021-04-06 10:24:20150.30.037.12021-022021-022021-04